Modeling transcriptomic age using knowledge-primed artificial neural networks
Modeling transcriptomic age using knowledge-primed artificial neural networks
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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The development of ‘age clocks’, machine learning models predicting age from biological data, has been a major milestone in the search for reliable markers of biological age and has since become an invaluable tool in aging research. However, beyond their unquestionable utility, current clocks offer little insight into the molecular biological proce...
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Modeling transcriptomic age using knowledge-primed artificial neural networks
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TN_cdi_doaj_primary_oai_doaj_org_article_777c395850e541569fc03b8d41e94be4
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_777c395850e541569fc03b8d41e94be4
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ISSN
2056-3973
E-ISSN
2056-3973
DOI
10.1038/s41514-021-00068-5
